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**个体患者数据荟萃分析**:针刺治疗慢性疼痛的协作研究方案。

Individual patient data meta-analysis of acupuncture for chronic pain: protocol of the Acupuncture Trialists' Collaboration.

机构信息

Department of Epidemiology and Biostatistics, Memorial Sloan-Kettering Cancer Center, New York, NY 10065, USA.

出版信息

Trials. 2010 Sep 28;11:90. doi: 10.1186/1745-6215-11-90.

Abstract

BACKGROUND

The purpose of clinical trials of acupuncture is to help clinicians and patients make decisions about treatment. Yet this is not straightforward: some trials report acupuncture to be superior to sham (placebo) acupuncture while others show evidence that acupuncture is superior to usual care but not sham, and still others conclude that acupuncture is no better than usual care. Meta-analyses of these trials tend to come to somewhat indeterminate conclusions. This appears to be because, until recently, acupuncture research was dominated by small trials of questionable quality. The Acupuncture Trialists' Collaboration, a group of trialists, statisticians and other researchers, was established to synthesize patient-level data from several recently published large, high-quality trials.

METHODS

There are three distinct phases to the Acupuncture Trialists Collaboration: a systematic review to identify eligible studies; collation and harmonization of raw data; statistical analysis. To be eligible, trials must have unambiguous allocation concealment. Eligible pain conditions are osteoarthritis; chronic headache (tension or migraine headache); shoulder pain; and non-specific back or neck pain. Once received, patient-level data will undergo quality checks and the results of prior publications will be replicated. The primary analysis will be to determine the effect size of acupuncture. Each trial will be evaluated by analysis of covariance with the principal endpoint as the dependent variable and, as covariates, the baseline score for the principal endpoint and the variables used to stratify randomization. The effect size for acupuncture from each trial--that is, the coefficient and standard error from the analysis of covariance--will then be entered into a meta-analysis. We will compute effect sizes separately for comparisons of acupuncture with sham acupuncture, and acupuncture with no acupuncture control for each pain condition. Other analyses will investigate the impact of different sham techniques, styles of acupuncture or frequency and duration of treatment sessions.

DISCUSSION

Individual patient data meta-analysis of high-quality trials will provide the most reliable basis for treatment decisions about acupuncture. Above all, however, we hope that our approach can serve as a model for future studies in acupuncture and other complementary therapies.

摘要

背景

针灸临床试验的目的是帮助临床医生和患者做出治疗决策。然而,这并不简单:一些试验报告针灸优于假(安慰剂)针灸,而另一些试验则表明针灸优于常规护理但不优于假针灸,还有一些试验则得出结论,针灸并不比常规护理好。这些试验的荟萃分析往往得出一些不确定的结论。这似乎是因为直到最近,针灸研究一直由质量有问题的小型试验主导。针灸试验者协作组是由试验者、统计学家和其他研究人员组成的,旨在综合最近发表的几项大型高质量试验的患者水平数据。

方法

针灸试验者协作组有三个不同的阶段:系统评价以确定合格的研究;原始数据的整理和协调;统计分析。有资格的试验必须有明确的分配隐藏。合格的疼痛病症包括骨关节炎;慢性头痛(紧张性或偏头痛);肩部疼痛;以及非特异性腰背或颈部疼痛。一旦收到,患者水平数据将进行质量检查,先前出版物的结果将被复制。主要分析将确定针灸的效应大小。每个试验将通过协方差分析进行评估,主要终点作为因变量,以及主要终点的基线评分和用于分层随机化的变量作为协变量。然后,每个试验的针灸效应大小 - 即协方差分析的系数和标准误差 - 将被纳入荟萃分析。我们将分别为每种疼痛病症比较针灸与假针灸以及针灸与无针灸对照的试验计算效应大小。其他分析将调查不同的假技术、针灸风格或治疗次数和持续时间的影响。

讨论

高质量试验的个体患者数据荟萃分析将为针灸治疗决策提供最可靠的依据。然而,最重要的是,我们希望我们的方法可以作为未来针灸和其他补充疗法研究的模型。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7609/2955653/5bffb6b45eea/1745-6215-11-90-1.jpg

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